



'''simple docstring'''






from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
     import numpy as np
     import tensorflow as tf

     from transformers import TFCamembertModel

@require_tf
@require_sentencepiece
@require_tokenizers
class 				a__(   unittest.TestCase      ):







    @slow
    def      lowercase_			( self					:    List[Any]      ):
      a		:   Union[str, Any]	  =	TFCamembertModel.from_pretrained('jplu/tf-camembert-base'      )

      a		:   Any	  =	tf.convert_to_tensor(
          [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]		,     dtype=tf.intaa		,     )  # J'aime le camembert !"

      a		:   Optional[int]	  =	model(__snake_case      )['last_hidden_state']
      a		:   Optional[int]	  =	tf.TensorShape((1, 10, 7_68)      )
      self.assertEqual(output.shape		,     __snake_case      )
      # compare the actual values for a slice.
      a		:   Any	  =	tf.convert_to_tensor(
          [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]		,     dtype=tf.floataa		,     )
      # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
      # camembert.eval()
      # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

      self.assertTrue(np.allclose(output[:, :3, :3].numpy()		,     expected_slice.numpy()		,     atol=1e-4      )      )




'''simple docstring'''






def  lowerCamelCase__			(		_A					,     _A					,     _A=False							):

  if isinstance(_A					,     _A							) and isinstance(_A					,     _A							):
    a		:   Tuple	  =	len(set_a.intersection(_A							)							)

    if alternative_union:
      a		:   Union[str, Any]	  =	len(_A							) + len(_A							)
    else:
      a		:   Optional[Any]	  =	len(set_a.union(_A							)							)

    return intersection / union

  if isinstance(_A					,     (list, tuple)							) and isinstance(_A					,     (list, tuple)							):
    a		:   int	  =	[element for element in set_a if element in set_b]

    if alternative_union:
      a		:   Optional[int]	  =	len(_A							) + len(_A							)
      return len(_A							) / union
    else:
      a		:   Tuple	  =	set_a + [element for element in set_b if element not in set_a]
      return len(_A							) / len(_A							)

    return len(_A							) / len(_A							)
  return None


if __name__ == "__main__":
     lowerCAmelCase:   str					=		{'a', 'b', 'c', 'd', 'e'}
     lowerCAmelCase:   Optional[Any]					=		{'c', 'd', 'e', 'f', 'h', 'i'}
     print(jaccard_similarity(set_a, set_b))